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How to Create a Barcode List. Open the Excel spreadsheet with the barcode data (e.g. a list with article numbers) or create your own list. Open the TBarCode Panel . Mark the cells with the barcode data. Select the barcode type (e.g. Code 128). Click the button Insert Barcode . Finished!

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Barcode Add in for Word and Excel - Easily generate barcodes in Microsoft Word and Excel with this add-in. The add-in changes the selected data to a barcode ...


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Like most books, this book represents the work of many people In this case, however, an unusually large number of people around the world have worked to make the Java Platform, Micro Edition nd also this book reality In five short years, a humble, two-person research project at Sun Labs grew rapidly into a highly collaborative product development and standardization effort involving hundreds of companies and thousands of people all over the world The summary that follows is an attempt to give a glimpse into the different groups of people who participated in this journey To these and many others too numerous to mention, we give our thanks and appreciation for what they did to make these ideas and this book possible Attempting to name these people in no way diminishes the contributions of those who we also meant to name but in the pressure of time and the failure of memory somehow overlooked Many people read draft versions of this book and sent us comments that improved the book substantially The authors would like to thank all the reviewers for their willingness to send comments and constructive criticism on the various versions of the book and the sample applications The authors would also like to thank Lisa Friendly for allowing us to publish this book in Sun's Java book series and for lending us capable technical writing resources to finish this book Jim Holliday, our technical writer and editor at Sun Microsystems, edited various versions of this book tirelessly Without his expertise in the mysteries of desktop publishing, grammar, and that pesky topic known as punctuation, this work would have been much worse for the wear Three other people at Sun Microsystems deserve special mention: Cindy Bloch, Senior Technical Writer, who contributed greatly in editing several chapters; Tasneem Sayeed, Staff Engineer, who provided very detailed comments on the various versions of the book; and Tim Dunn, Visual Designer, who devoted many long hours to perfecting the graphics in this book Numerous companies have been involved in the standardization efforts related to the Java 2 Platform, Micro Edition We would like to thank all the CLDC and MIDP expert group members for their active participation and valuable contributions In addition to the official members of the CLDC and MIDP expert groups, hundreds of other companies and individuals sent us feedback while the CLDC and MIDP standardization efforts were in progress The authors found it amazing how much of their time people were willing to contribute to ensure the progress of the Java technology in the wireless space Someone once said that hardware without software is a space heater Similarly, without products, the CLDC and MIDP specifications would be limited in their value The authors would like to thank wireless device manufacturers, wireless network operators, and software developers for widely embracing the CLDC and MIDP standards, thereby allowing software developers all over the world to finally have a common platform for mobile software development Various product groups in Sun's Consumer and Mobile Systems Group (CMSG) organization participated in the design and implementation of the CLDC and MIDP reference implementations The authors would like to thank Sun's CLDC team, MIDP team, and Wireless Toolkit team members who worked on the reference implementations of the standards and products discussed in this book The TCK (Technology Compatibility Kit) and Quality Assurance teams at CMSG also played a critical role in ensuring the quality and compatibility of the products The Nokia authors would like to thank the following Nokia people who have been closely involved in the MIDP 20 standardization work: Kari Syst Kimmo L t Markku Tamski, Anna Zhuang, and Antti Rantalahti Special thanks go to all the Nokia Java teams who have made it possible for Nokia to launch over 30 products with J2ME support and to ship tens of millions of J2ME devices The Motorola authors would like to thank all the people in Motorola who helped make CLDC and MIDP a success Special thanks go to the team members in Motorola's WSAS and iDEN groups that had the vision, developed the first CLDC/MIDP device to reach the market, and still continue to push the envelope in terms of performance and capabilities.

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identi ed using the techniques discussed in 6 Many of the shortfalls of the current data are found during data pro ling and/or detailed data analysis performed while data modeling If the data is not captured anywhere, then it cannot be included in the database Additional data hallenges are discovered during the development of the ETL system It takes a lot of detailed, tedious work to track down and resolve all of these individual data issues It is important to ensure that issues are well understood so that decisions can be made about how to deal with problems that arise In some cases, getting to the bottom of the problem itself may take a lot more research A decision must be made whether to work on the problem or to postpone it for the future This must be a joint business and technical decision Some problems can be put off with little or no immediate impact, but some data issues must be resolved in order to meet the overall objectives of the project For example, suppose the organization has been collecting customer demographic data for years When customers call in, they are asked if they are willing to complete a short survey This short survey collects additional demographics about each customer household While it sounds interesting to use for analysis, most customers did not participate, so only 15% of the customers have any data To make matters worse, the entry screens required the answers to be keyed in, rather than using a set list of options, so the data that has been collected has many different values and will require a lot of cleaning to make it useful The question at hand is whether this is worth the effort Because the demographic analysis is not an immediate priority, and the work required is signi cant, this was postponed to a subsequent iteration In the meantime, a better data solution is to modify the survey entry screen to capture pre-set options so that the data is consistent In addition, the top ve most important questions need to be included in the initial conversation with the customer, rather than as an optional survey These decisions need to be based on a cost-bene t analysis not a multi-week effort, but simply a checkpoint to ensure that resources are used wisely to deliver the most value in a timely manner Often, the data problems identi ed when working on a data warehouse project are data quality problems in the underlying source systems and/or business processes It is important to dig down to nd out the root cause of data quality problems Then, decisions can be made to eliminate the problems from recurring.

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